Elimination of covid-19: beware of surveillance bias.

Tancredi, Stefano; Anker, Daniela; Rosella, Laura; Chiolero, Arnaud

Tancredi, Stefano; Anker, Daniela; Rosella, Laura; Chiolero, Arnaud.

Tancredi S; Population Health Laboratory (#PopHealthLab), University of Fribourg, Fribourg, Switzerland.
Anker D; Department of Biomedical, Metabolic, and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy.
Rosella L; Population Health Laboratory (#PopHealthLab), University of Fribourg, Fribourg, Switzerland.
Chiolero A; Dalla Lana School of Public Health, University of Toronto, ON, Canada.

BMJ ; 374: n2126, 2021 09 03.

Article in English | MEDLINE | ID: covidwho-1394087

Subject(s)

Bias; COVID-19/epidemiology; Pandemics; Population Surveillance; Asymptomatic Infections/epidemiology; COVID-19/transmission; COVID-19 Testing/statistics & numerical data; Hospitalization/statistics & numerical data; Humans; Incidence; SARS-CoV-2; United Kingdom/epidemiology

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Bias / Population Surveillance / Pandemics / COVID-19 Type of study: Diagnostic study / Observational study / Prognostic study / Systematic review/Meta Analysis Limits: Humans Country/Region as subject: Europa Language: English Journal: BMJ Journal subject: Medicine Year: 2021 Document Type: Article Affiliation country: Bmj.n2126

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